SOTAVerified

Medical Image Classification

Medical Image Classification is a task in medical image analysis that involves classifying medical images, such as X-rays, MRI scans, and CT scans, into different categories based on the type of image or the presence of specific structures or diseases. The goal is to use computer algorithms to automatically identify and classify medical images based on their content, which can help in diagnosis, treatment planning, and disease monitoring.

Papers

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Showing 301–350 of 424 papers

TitleStatusHype
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification—0
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance—0
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound—0
SynthVision - Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data—0
Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification—0
Texture features in medical image analysis: a survey—0
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification—0
The Importance of Background Information for Out of Distribution Generalization—0
The Whole Pathological Slide Classification via Weakly Supervised Learning—0
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set—0
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge—0
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture—0
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease—0
Transfer learning for automatic brain tumor classification Using MRI Images.—0
TransMed: Transformers Advance Multi-modal Medical Image Classification—0
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes—0
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification—0
Uncertainties of Latent Representations in Computer Vision—0
Understanding Calibration of Deep Neural Networks for Medical Image Classification—0
Unlearning Spurious Correlations in Chest X-ray Classification—0
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification—0
Unsupervised Deep Transfer Feature Learning for Medical Image Classification—0
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification—0
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification—0
Variational Knowledge Distillation for Disease Classification in Chest X-Rays—0
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification—0
Vision Transformers in Medical Imaging: A Review—0
Visualization approach to assess the robustness of neural networks for medical image classification—0
Visual Prompt Engineering for Medical Vision Language Models in Radiology—0
Weakly-supervised Generative Adversarial Networks for medical image classification—0
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study—0
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification—0
Joint Acne Image Grading and Counting via Label Distribution LearningCode0
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image ClassificationCode0
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos ClassificationCode0
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial NetworksCode0
KPL: Training-Free Medical Knowledge Mining of Vision-Language ModelsCode0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image ClassificationCode0
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification TasksCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesCode0
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCode0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Leveraging AI for Automatic Classification of PCOS Using Ultrasound ImagingCode0
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image ClassificationCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier CalibrationCode0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
Making the Most of Text Semantics to Improve Biomedical Vision--Language ProcessingCode0
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All datasetsNCT-CRC-HE-100KIDRiDImageNetPCOS ClassificationCheXphotoGalaxy10 DECalsISIC 2017ISIC 2020 Challenge DatasetMalaria DatasetOASIS 3

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Efficientnet-b0Accuracy (%)95.59—Unverified
2ResNeXt-50-32x4dAccuracy (%)95.46—Unverified
3RegNetY-3.2GFAccuracy (%)95.42—Unverified
4ResNet-50Accuracy (%)94.72—Unverified
5DenseNet-169Accuracy (%)94.41—Unverified
6Res2Net-50Accuracy (%)93.37—Unverified
7ResNet-18Accuracy (%)92.66—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-152Accuracy (% )86.56—Unverified
2Beta-RankAccuracy81.88—Unverified
#ModelMetricClaimedVerifiedStatus
1DaViT-SGFLOPs8.8—Unverified
2DaViT-TGFLOPs4.5—Unverified
#ModelMetricClaimedVerifiedStatus
1InceptionV31:1 Accuracy90.2—Unverified
2EfficientNet B71:1 Accuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PTRNMean AUC0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1AstroformerTop-1 Accuracy (%)94.87—Unverified
#ModelMetricClaimedVerifiedStatus
1Beta-RankAccuracy72.44—Unverified
#ModelMetricClaimedVerifiedStatus
1EfficientNet EnsembleAUC0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1SNAPSHOT ENSEMBLEF1 score99.37—Unverified
#ModelMetricClaimedVerifiedStatus
13D CNNAUC87—Unverified